We seek an outstanding individual for a postdoctoral fellow position in computational neuroimaging and mental health. This is a key position for a 3-year NIMH funded project to examine the efficacy of attention bias modification in mood disorders. The position will be in The Department of Psychology (http://liberalarts.utexas.edu/psychology/) and the Institute for Mental Health Research (http://liberalarts.utexas.edu/imhr/) at the University of Texas, Austin

The postdoctoral fellow will be responsible for overseeing all aspects of the neuroimaging component of this project. Collecting high quality MRI data and then apply advanced data analytic approaches (graph theoretical network analysis, machine learning, multivariate modeling).

Necessary qualifications include: 1) a PhD in neuroscience, psychology, cognitive science, computer science or a related field; 2) experience with collecting, processing and analyzing functional and structural MRI data; 3) experience with typical neuroimaging software packages - fMRI/MRI/DTI (e.g., FSL, AFNI, SPM, Freesurfer); 4) experience implementing quality coding, particularly with python, unix and/or matlab; and 5) meticulous attention to detail.

Preference will be given to candidates who additionally have: 1) experience working with individuals with mood disorders; and/or 2) have previous experience with advanced analytic techniques (e.g., multivariate approaches, machine learning, and/or graph theory).

Interested persons may send their CV and a cover letter to David Schnyer – [log in to unmask] or Christopher Beevers - mailto:[log in to unmask].